2021
DOI: 10.1007/s00009-020-01693-2
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A Robust Numerical Method for a Singularly Perturbed Fredholm Integro-Differential Equation

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Cited by 30 publications
(14 citation statements)
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“…Proof. The proof is done by similar approach as in [5,12]. Now, we turn to establishment of the difference scheme.…”
Section: The Mesh and Difference Schemementioning
confidence: 99%
See 1 more Smart Citation
“…Proof. The proof is done by similar approach as in [5,12]. Now, we turn to establishment of the difference scheme.…”
Section: The Mesh and Difference Schemementioning
confidence: 99%
“…Delay forms of SPVIDEs were discretized in [21,35]. Amiraliyev et al recently constructed an exponential-difference scheme with an accuracy of O N −1 for the first-order linear singularly perturbed Fredholm integro-differential equation (SPFIDE) on a uniform grid in [1], and finite difference scheme with an accuracy of O N −2 ln N on a Shishkin grid for the second-order linear SPFIDE in [12]. The first and the second order difference schemes were proposed in [4,34].…”
Section: Introductionmentioning
confidence: 99%
“…Using the appropriate quadratures formulas with the remainder term in integral form [4,12,17,27] (see also [24], pp. 207-214), to the first term at the right side of (2.3) we get…”
Section: The Continuous Problem and Difference Schemementioning
confidence: 99%
“…Amiraliyev et al [ 3 , 5 ] proposed an exponentially fitted difference method on a uniform mesh for solving first and second-order linear SPFIDEs, demonstrating that the approach is first-order convergent uniformly in . Difference schemes of the fitted homogeneous type with an accuracy of on a piecewise uniform mesh for this type of problems are given in [ 4 , 15 ]. It should also be noted that in [ 30 , 31 ], for the numerical solution of singularly perturbed Volterra integro-differential equations, first-order difference schemes on a piecewise uniform mesh are given, followed by Richardson extrapolation to obtain the second order of accuracy.…”
Section: Introductionmentioning
confidence: 99%